Symphonie massively parallel computer, modelling and design

The goal of this paper is to present an embedded calculator for image processing SYMPHONIE and the methodology used for its realization. In this calculator we could have up to 1024 processors . Its first application will take place in the french Rafale Aircraft as core of the infra-red system . For this application, low size and low consumption will be very important and an ASIC of a million gates has been developped . To succeed in this realization we used a VHDL model allowing simulations on the full system . Then we used VHDL synthesis methods for the conception of the ASIC . We will conclude this paper by a presentation of some perfomances of the system in some applications fields .L'objectif de cet article est de présenter le calculateur embarqué de traitement d'image SYMPHONIE, ainsi que la méthodologie mise en oeuvre pour sa réalisation. Ce calculateur dont une des applications se situe au coeur du système de veille infrarouge de l'avion Rafale pourra comporter jusqu'à 1024 processeurs. Afin de tenir compte des contraintes de volume et de consommation, un ASIC d'un million de portes a été développé. Pour réussir cette réalisation un modèle VHDL a été écrit permettant des simulations de l'ensemble du système. Par ailleurs, ce modèle a permis d'aborder la réalisation du circuit ASIC en faisant appel aux outils de synthèse VHDL. Nous terminerons cette présentation par quelques performances dans différents domaines d'applications

Multicentre prospective evaluation of histological and molecular criterion for diagnosis of prosthetic-joint infection

Objectives: This multicenter prospective study was performed to assess the contribution of broad range PCR diagnosis in prosthetic-joint infection (PJI). Methods: Adult patients treated for PJI at 7 centers were included between December 2010 and March 2012. Six per-operative samples were obtained for each patient, 5 for conventional cultures and 16S rRNA gene real-time PCR followed by sequencing, and 1 for histopathological classification according to Morawietz. Cultures and PCR were performed in a highly standardized manner, with 3 quality controls of PCR analyses. An infection was considered as proved (3 criteria: per-operative, bacteriological and histological), probable (clinical or bacteriological criterium), or excluded (no criterium). Molecular criterium for predicting PJI was determined using the bacteriological one as reference (>=1 positive sample for virulent organism, and >=3 positive samples for coagulase-negative staphylococci (CoNS) and P. acnes). Results: 299 patients were included, 264 with suspicion of sepsis (S) and 35 as controls (C). The 264 S presented with acute (19%), or chronic suspicion of PJI (81%). Infection was proved or probable in 212/264 S (80%), with the bacteriological criterium in 189/212 S (89%). Out of these, 156 (83%) had monomicrobial and 33 (17%) polymicrobial infections. The isolated pathogens were S. aureus (40%), CoNS (25%), streptococci (14%), Gram-Negative rods (10%), and anaerobes 8%. Histology results were not available for 55 patients, leaving 244 patients available for analysis. Histological findings of infection (Morawietz types II or III) were present in 128/169 (76%) proved or probable infections, in 3 patients without any other criterium, and were absent in excluded infections (n=42) and controls (n=29). PCR results were not analysable for 32 patients (S=28, C=4), leaving 267 patients (S=236, C=31) available for analysis. Molecular criterium of infection was present in 63/68 (93%) proved infections, 83/124 (67%) probable infections, 3/42 excluded infections, 0/2 histological criterium alone and 2/31 controls. Molecular criterium of infection was absent in 34/189 (18%) culture-positive S, and present in 8/23 culture-negative S (8 patients treated with antibiotics). Conclusions: According to this multicenter prospective study, 16S rRNA gene real-time PCR is less susceptible than culture for diagnosis of PJI. Molecular analysis could be recommended in culture-negative patients who were receiving antibiotics

Evaluation of 16S rRNA gene PCR sensitivity and specificity for diagnosis of prosthetic joint infection: a prospective multicenter cross-sectional study

There is no standard method for the diagnosis of prosthetic joint infection (PJI). The contribution of 16S rRNA gene PCR sequencing on a routine basis remains to be defined. We performed a prospective multicenter study to assess the contributions of 16S rRNA gene assays in PJI diagnosis. Over a 2-year period, all patients suspected to have PJIs and a few uninfected patients undergoing primary arthroplasty (control group) were included. Five perioperative samples per patient were collected for culture and 16S rRNA gene PCR sequencing and one for histological examination. Three multicenter quality control assays were performed with both DNA extracts and crushed samples. The diagnosis of PJI was based on clinical, bacteriological, and histological criteria, according to Infectious Diseases Society of America guidelines. A molecular diagnosis was modeled on the bacteriological criterion (≥ 1 positive sample for strict pathogens and ≥ 2 for commensal skin flora). Molecular data were analyzed according to the diagnosis of PJI. Between December 2010 and March 2012, 264 suspected cases of PJI and 35 control cases were included. PJI was confirmed in 215/264 suspected cases, 192 (89%) with a bacteriological criterion. The PJIs were monomicrobial (163 cases [85%]; staphylococci, n = 108; streptococci, n = 22; Gram-negative bacilli, n = 16; anaerobes, n = 13; others, n = 4) or polymicrobial (29 cases [15%]). The molecular diagnosis was positive in 151/215 confirmed cases of PJI (143 cases with bacteriological PJI documentation and 8 treated cases without bacteriological documentation) and in 2/49 cases without confirmed PJI (sensitivity, 73.3%; specificity, 95.5%). The 16S rRNA gene PCR assay showed a lack of sensitivity in the diagnosis of PJI on a multicenter routine basis

Corporeality, equality and education. A biopedagogical perspective

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The interest of gait markers in the identification of subgroups among fibromyalgia patients

<p>Abstract</p> <p>Background</p> <p>Fibromyalgia (FM) is a heterogeneous syndrome and its classification into subgroups calls for broad-based discussion. FM subgrouping, which aims to adapt treatment according to different subgroups, relies in part, on psychological and cognitive dysfunctions. Since motor control of gait is closely related to cognitive function, we hypothesized that gait markers could be of interest in the identification of FM patients' subgroups. This controlled study aimed at characterizing gait disorders in FM, and subgrouping FM patients according to gait markers such as stride frequency (SF), stride regularity (SR), and cranio-caudal power (CCP) which measures kinesia.</p> <p>Methods</p> <p>A multicentre, observational open trial enrolled patients with primary FM (44.1 ± 8.1 y), and matched controls (44.1 ± 7.3 y). Outcome measurements and gait analyses were available for 52 pairs. A 3-step statistical analysis was carried out. A preliminary single blind analysis using k-means cluster was performed as an initial validation of gait markers. Then in order to quantify FM patients according to psychometric and gait variables an open descriptive analysis comparing patients and controls were made, and correlations between gait variables and main outcomes were calculated. Finally using cluster analysis, we described subgroups for each gait variable and looked for significant differences in self-reported assessments.</p> <p>Results</p> <p>SF was the most discriminating gait variable (73% of patients and controls). SF, SR, and CCP were different between patients and controls. There was a non-significant association between SF, FIQ and physical components from Short-Form 36 (p = 0.06). SR was correlated to FIQ (p = 0.01) and catastrophizing (p = 0.05) while CCP was correlated to pain (p = 0.01). The SF cluster identified 3 subgroups with a particular one characterized by normal SF, low pain, high activity and hyperkinesia. The SR cluster identified 2 distinct subgroups: the one with a reduced SR was distinguished by high FIQ, poor coping and altered affective status.</p> <p>Conclusion</p> <p>Gait analysis may provide additional information in the identification of subgroups among fibromyalgia patients. Gait analysis provided relevant information about physical and cognitive status, and pain behavior. Further studies are needed to better understand gait analysis implications in FM.</p

Tapentadol: Use and Abuse

Tapentadol is a synthetic opioid analgesic that has been on the market in India since 2011. According to international studies, there is a low danger of abuse and diversion. Prescription opioid pain reliever abuse remains a major public health concern. Tapentadol, a prescription painkiller, differs from opioids such as oxycodone and morphine in that it has two modes of action: opioid receptor agonism and norepinephrine reuptake inhibition. Tapentadol has been on the market in India for eight and a half years. Our center was the topic of a single peer-reviewed research in 2017 that detailed two instances of abuse. Tapentadol is less likely to be diverted, abused, addicted, overdosed, or sold on the street than other prescribed opioids. This article reviews uses, pharmacological properties and abuse of tapentadol as it is the most serious issues like addiction, seeking behavior, withdrawal, and physical dependency .The main challenge with tapentadol use is controlling the ratio of MOR agonist to NRI. Finally, tapentadol provides both nociceptive and neuropathic pain relief, but there are concerns about abuse and reliance. Keywords: Tapentadol, Abuse, Opioid, Addiction